activity
20112023
most citedEffects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma

14 citations · 65 across the 18 of their papers we have counts for

collaborators

18 papers

math.DS2023

Efficient Link Prediction in Continuous-Time Dynamic Networks using Optimal Transmission and Metropolis Hastings Sampling

Ruizhi Zhang, Wei Wei, Qiming Yang +3

Efficient link prediction in continuous-time dynamic networks is a challenging problem that has attracted much research attention in recent years. A widely used approach to dynamic…

cs.LG2023

An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics

Xue Liu, Dan Sun, Wei Wei +1

Autonomous individuals establish a structural complex system through pairwise connections and interactions. Notably, the evolution reflects the dynamic nature of each complex syste…

stat.AP2023

Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification

Xue Liu, Qian Cheng, Dan Sun +3

Molecular fingerprints are significant cheminformatics tools to map molecules into vectorial space according to their characteristics in diverse functional groups, atom sequences,…

cs.LG2022

Parameter Convex Neural Networks

Jingcheng Zhou, Wei Wei, Xing Li +2

Deep learning utilizing deep neural networks (DNNs) has achieved a lot of success recently in many important areas such as computer vision, natural language processing, and recomme…

cs.LG2021

Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training

Jingcheng Zhou, Wei Wei, Zhiming Zheng

First-order methods like stochastic gradient descent(SGD) are recently the popular optimization method to train deep neural networks (DNNs), but second-order methods are scarcely u…

cs.GT2021★ 14 cited

Effects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma

Zhenyu Shi, Wei Wei, Xiangnan Feng +2

In recent years, Win-Stay-Lose-Learn rule has attracted wide attention as an effective strategy updating rule, and voluntary participation is proposed by introducing a third strate…

cs.LG2021★ 1 cited

Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network

Xing Li, Wei Wei, Xiangnan Feng +1

Graphs are often used to organize data because of their simple topological structure, and therefore play a key role in machine learning. And it turns out that the low-dimensional e…

physics.soc-ph2020★ 11 cited

Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam

Zhenyu Shi, Wei Wei, Xiangnan Feng +2

Prisoner's dilemma game is the most commonly used model of spatial evolutionary game which is considered as a paradigm to portray competition among selfish individuals. In recent y…

cs.SI2020★ 3 cited

Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs

Xing Li, Wei Wei, Xiangnan Feng +2

The graph structure is a commonly used data storage mode, and it turns out that the low-dimensional embedded representation of nodes in the graph is extremely useful in various typ…

cs.SI2019

Graphical Representation and Hierarchical Decomposition Mechanism for Vertex-Cover Solution Space

Wei Wei, Xiangnan Feng, Jiannan Wang +2

In this paper, solution space organization of minimum vertex-cover problem is deeply investigated using the König-Egérvary (KE) graph and theorem, in which a hierarchical decomposi…

cs.SI2018★ 1 cited

Core Influence Mechanism on Vertex-Cover Problem through Leaf-Removal-Core Breaking

Xiangnan Feng, Wei Wei, Xing Li +1

Leaf-Removal process has been widely researched and applied in many mathematical and physical fields to help understand the complex systems, and a lot of problems including the min…

physics.soc-ph2017★ 11 cited

Optimal Stabilization of Boolean Networks through Collective Influence

Jiannan Wang, Sen Pei, Wei Wei +2

The stability of Boolean networks has attracted much attention due to its wide applications in describing the dynamics of biological systems. During the past decades, much effort h…

cs.SI2017

Exploring the Node Importance Based on von Neumann Entropy

Xiangnan Feng, Wei Wei, Jiannan Wang +2

When analyzing the statistical and topological characteristics of complex networks, an effective and convenient way is to compute the centralities for recognizing influential and s…

cs.DS2015★ 4 cited

Research on Solution Space of Bipartite Graph Vertex-Cover by Maximum Matchings

Wei Wei, Yunjia Zhang, Ting Wang +3

Some rigorous results and statistics of the solution space of Vertex-Covers on bipartite graphs are given in this paper. Based on the 's theorem, an exact solution sp…

cs.CC2014★ 2 cited

Organization mechanism and counting algorithm on Vertex-Cover solutions

Wei Wei, Renquan Zhang, Baolong Niu +2

Counting the solution number of combinational optimization problems is an important topic in the study of computational complexity, especially on the #P-complete complexity class.…

q-bio.MN2013

Evolution of autocatalytic sets in a competitive percolation model

Renquan Zhang

The evolution of autocatalytic sets (ACS) is a widespread process in biological, chemical and ecological systems which is of great significance in many applications, such as the ev…

math-ph2012★ 7 cited

Analysis on the evolution process of BFW-like model with explosive percolation of multiple giant components

Renquan Zhang, Wei Wei, Binghui Guo +2

Recently, the modified BFW model on random graph [Phys. Rev. Lett., 106, 115701 (2011)], which shows a strongly discontinuous percolation transition with multiple giant components,…

math-ph2011★ 11 cited

Determining the Solution Space of Vertex-Cover by Interactions and Backbones

Wei Wei, Renquan Zhang, Binghui Guo +1

To solve the combinatorial optimization problems especially the minimal Vertex-cover problem with high efficiency, is a significant task in theoretical computer science and many ot…